Kha-dinh Luong
Applied Scientist II at Amazon
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolKha-dinh Luong is an Applied Scientist II at Amazon with eight years of experience turning research-grade ML into production-scale solutions for ads relevance, information retrieval, and search. With a PhD background in graph-based machine learning for cheminformatics and drug discovery, he excels at extracting signals from complex structured data and building robust, interpretable models. He has a track record of high-impact internships and projects—driving a $128M+ ads revenue uplift from a multitask query-rewriting system and improving LLM-driven matching and synthetic data pipelines. Comfortable spanning self-supervised pretraining, GNNs, and transformer stacks, he blends academic rigor with pragmatic engineering to ship scalable components in production. Based in the Greater Seattle Area, he brings uncommon domain breadth—from molecular graph learning to large-scale advertising systems—and a knack for translating novel research ideas into measurable product gains.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Case Western Reserve UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at UC Santa BarbaraAccelerated High School Diploma, Mathematics, Accelerated High School Diploma, Mathematics at VNU-HCM High School for the Gifted
English, Vietnamese, Chinese
Github Skills (27)
capstone9
graph-convolutional-networks8
graph-neural-network8
geometric-deep-learning7
pytorch7
graph-representation-learning6
deep-learning6
testing5
molecule4
bioinformatics4
support-vector-machine4
python4
science4
fine-tuning3
natural-language-processing3
Programming languages (2)
Github contributions (5)
lvkd84/WritingBot
Sep 2017 - Sep 2021
Contributions:2 pushes, 1 branch in 3 years 11 months
lvkd84/TsuroBoardGame
Sep 2017 - Sep 2021
Contributions:2 pushes, 1 branch in 4 years
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